Autonomous Rover — Jetson ROS2 Platform
A personal project exploring real-time control and perception. Built on a Jetson Nano using ROS2 with onboard cameras for obstacle detection.
Overview
Built a four-wheel rover integrating sensor data and control loops to track paths autonomously. Implemented image-based obstacle avoidance and data visualization for debugging.
Key Work
- Implemented PID control and trajectory planning ( 25 % faster loop response ).
- Trained lightweight neural nets in PyTorch for obstacle classification.
- Automated simulation tests and tuned gains through iterative field runs.
- Developed live telemetry plots for stability and error analysis.